公共卫生和安全企业内COVID-19暴露跟踪:迄今为止的发现和进一步研究的机会。

Online journal of public health informatics Pub Date : 2021-03-21 eCollection Date: 2021-01-01 DOI:10.5210/ojphi.v13i1.11484
Jonathon S Feit, Christian C Witt
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引用次数: 0

摘要

在获得COVID-19检测的机会有限,或者此类检测结果被延迟甚至无效的地方(例如加利福尼亚州和犹他州),需要可扩展的替代方法,例如启发式模型或“COVID-19妊娠试验”,这些方法可以考虑时间分母(即症状持续时间)。本文的问题是,这些公共卫生和安全机构之间的感染是“煤矿里的金丝雀”,是石蕊试金石,还是它们所在社区的缩影(选择你的比喻)。通过检查病毒对应急响应人员本身的影响,是否可以看到COVID-19感染计数和率在社区“移动”?紧急救援人员成为“人类指标值”的令人不安的问题与维持流动医疗(EMS和消防)人员以及警察的健康有关,因为这些群体的集体弹性将崩溃。它对暴露追踪和接触者追踪、个人防护装备获取以及身心健康方面的政策和投资具有进一步的影响。设计:我们使用MEDIVIEW BEACON院前健康信息交换系统汇总了来自12个州的4个不同EMS文档系统的数据。然后,我们输出了包含由世卫组织、疾病预防控制中心和洛杉矶县消防局EMS局确定的ICD-10关键值的图表列表,作为COVID-19感染可能的体征、症状和临床印象的纳入标准。结果:本研究得出了三个重要结果:(1)在数据纳入的各州,移动医疗(EMS和Fire)护理提供者经常暴露于可能的COVID-19感染;(2)普通民众的紧张情绪,因为在知情的临床评估后,基于症状的求助电话超过了具有相关“提供者印象”的应答数量;(3)这项研究是由一家科技初创公司与众多公共卫生和公共安全机构之间的公私合作伙伴关系授权的,这为快速实施研发合作提供了成功的模板。局限性:本研究仅纳入了来自(a)十二(12)个州和(b)四(4)个移动医疗文档系统的数据。我们试图通过确保我们的样本跨越机构类型、地理位置、人口统计和市政环境(即农村与城市)来克服这些限制。结论:其他研究指出,EMS机构的任务是运送“病人中病情最严重的人”。我们发现,在潜在或实际感染患者接触频率高的地方,个人防护装备尤为重要,因为从洛杉矶县到德克萨斯州农村,如果没有足够的保护,公共卫生和公共安全机构已经成为他们本应保护的社区的缩影。事实上,美国宣布大流行的前六个月的数据表明,在流动医疗专业人员中,部门内传播是最危险的传染源之一(如果不是)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
COVID-19 Exposure Tracking Within Public Health & Safety Enterprises: Findings to Date & Opportunity for Further Research.
Where there is limited access to COVID-19 tests, or where the results of such tests have been delayed or even invalidated (e.g., California and Utah), there is a need for scalable alternative approaches-such as a heuristic model or "pregnancy test for COVID-19" that can factor in the time denominator (i.e., duration of symptoms). This paper asks whether infection among these public health and safety agencies is a "canary in the coal mine," litmus test, or microcosm (pick your analogy) for the communities in which they operate. Can COVID-19 infection counts and rates be seen "moving around" communities by examining the virus's effect on emergency responders themselves? The troubling question of emergency responders becoming "human indicator values" is relevant to maintaining the health of Mobile Medicine (EMS and Fire) personnel, as well as Police, who are an under-attended population, because these groups our collective resiliency would crash. It has further implications for policies regarding, and investments in, exposure tracking and contact tracing, PPE acquisition, and mental and physical wellness. Design We aggregated data from four (4) different EMS documentation systems across twelve (12) states using the MEDIVIEW BEACON Prehospital Health Information Exchange. We then outputted lists of charts containing critical ICD-10 values that had been identified by the WHO, the CDC, and the Los Angeles County Fire Deptartment's EMS Bureau as inclusion criteria for possible signs, symptoms, and clinical impressions of COVID-19 infection. Results Three important results emerged from this study: (1) a demonstration of frequent exposure to possible COVID-19 infection among Mobile Medical (EMS & Fire) care providers in the states whose data were included; (2) a demonstration of the nervousness of the general population, given that calls for help due to possible COVID-19 based on symptomology exceeded the number of responses with a correlating "provider impression" after an informed clinical assessment; and (3) the fact that this study was empowered by a public-private partnerships between a technology startup and numerous public health and public safety agencies, offers a template for success in rapidly implementing research and development collaborations. Limitations This study incorporates data from only (a) twelve (12) states, and (b) four (4) Mobile Medical documentation systems. We sought to combat these limitations by ensuring that our sample crosses agencies types, geographies, population demographics, and municipal environments (i.e., rural vs. urban). Conclusions Other studies have noted that EMS agencies are tasked with transporting the "sickest of the sick." We found that PPE is particularly essential where the frequency of encounters between potentially-or actually-infected patients is high, because from Los Angeles County to rural Texas, without sufficient protection, public health and public safety agencies have become microcosms of the communities they are meant to protect. Indeed, data from the first six months of the declared pandemic in the U.S.A. show that intra-departmental spread is one of (if not the) riskiest sources of infection among Mobile Medical professionals.
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